The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-14"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4442163 (up from 4347018 yesterday: 2.19 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "302418 (up from 297197 yesterday: 1.76 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.81



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1417774 27368 1.97 85898 1779 2.11 6.06
Russia 252245 9974 4.12 2305 93 4.20 0.91
United Kingdom 234440 3455 1.50 33693 429 1.29 14.37
Spain 229540 849 0.37 27321 217 0.80 11.90
Italy 223096 992 0.45 31368 262 0.84 14.06
Brazil 203165 13028 6.85 13999 759 5.73 6.89
France 178994 810 0.45 27428 351 1.30 15.32
Germany 174478 380 0.22 7884 23 0.29 4.52
Turkey 144749 1635 1.14 4007 55 1.39 2.77
Iran 114533 1808 1.60 6854 71 1.05 5.98
China 84029 5 0.01 4637 0 0.00 5.52
India 81997 3942 5.05 2649 98 3.84 3.23
Peru 80604 4298 5.63 2267 98 4.52 2.81
Canada 74781 1213 1.65 5592 167 3.08 7.48
Belgium 54288 307 0.57 8903 60 0.68 16.40
Saudi Arabia 46869 2039 4.55 283 10 3.66 0.60
Netherlands 43680 270 0.62 5609 28 0.50 12.84
Mexico 42595 2409 5.99 4477 257 6.09 10.51
Chile 37040 2659 7.73 368 22 6.36 0.99
Pakistan 35788 490 1.39 770 9 1.18 2.15
Ecuador 30502 16 0.05 2338 4 0.17 7.67
Switzerland 30463 50 0.16 1872 2 0.11 6.15
Sweden 28582 673 2.41 3529 69 1.99 12.35
Portugal 28319 187 0.66 1184 9 0.77 4.18
Qatar 28272 1733 6.53 14 0 0.00 0.05
Belarus 26772 947 3.67 151 5 3.42 0.56
Singapore 26098 752 2.97 21 0 0.00 0.08
Ireland 23827 426 1.82 1506 9 0.60 6.32
United Arab Emirates 21084 698 3.42 208 2 0.97 0.99
Bangladesh 18863 1041 5.84 283 14 5.20 1.50
Poland 17615 411 2.39 883 22 2.56 5.01
Ukraine 16847 422 2.57 456 17 3.87 2.71
Israel 16579 31 0.19 265 1 0.38 1.60
Romania 16247 245 1.53 1053 17 1.64 6.48
Japan 16120 71 0.44 697 19 2.80 4.32
Austria 16058 61 0.38 626 2 0.32 3.90
Indonesia 16006 568 3.68 1043 15 1.46 6.52
Colombia 13610 680 5.26 525 16 3.14 3.86
South Africa 12739 665 5.51 238 19 8.68 1.87
Kuwait 11975 947 8.59 88 6 7.32 0.73
Philippines 11876 258 2.22 790 18 2.33 6.65
Dominican Republic 11320 124 1.11 422 13 3.18 3.73
Korea, South 11018 27 0.25 260 0 0.00 2.36
Denmark 10911 46 0.42 537 4 0.75 4.92
Egypt 10829 398 3.82 571 15 2.70 5.27
Serbia 10374 79 0.77 224 2 0.90 2.16
Panama 9118 174 1.95 260 4 1.56 2.85
Czechia 8351 82 0.99 293 3 1.03 3.51
Norway 8196 21 0.26 232 3 1.31 2.83
Argentina 7134 255 3.71 353 24 7.29 4.95
Australia 7019 30 0.43 98 0 0.00 1.40
Malaysia 6819 40 0.59 112 1 0.90 1.64
Morocco 6607 95 1.46 190 2 1.06 2.88
Algeria 6442 189 3.02 529 7 1.34 8.21
Bahrain 6198 382 6.57 10 0 0.00 0.16
Finland 6145 91 1.50 287 3 1.06 4.67
Afghanistan 5639 413 7.90 136 4 3.03 2.41
Kazakhstan 5571 154 2.84 32 0 0.00 0.57
Moldova 5553 147 2.72 194 9 4.86 3.49
Ghana 5530 122 2.26 24 0 0.00 0.43
Nigeria 5162 191 3.84 167 3 1.83 3.24
Oman 4341 322 8.01 18 1 5.88 0.41
Luxembourg 3915 11 0.28 103 0 0.00 2.63
Armenia 3860 142 3.82 49 1 2.08 1.27
Hungary 3380 39 1.17 436 6 1.40 12.90
Bolivia 3372 224 7.12 152 10 7.04 4.51
Iraq 3143 111 3.66 115 0 0.00 3.66
Thailand 3018 1 0.03 56 0 0.00 1.86
Cameroon 2954 154 5.50 139 3 2.21 4.71
Azerbaijan 2879 121 4.39 35 0 0.00 1.22
Greece 2770 10 0.36 156 1 0.65 5.63
Uzbekistan 2645 33 1.26 11 0 0.00 0.42
Guinea 2473 99 4.17 15 1 7.14 0.61
Honduras 2318 63 2.79 133 10 8.13 5.74
Croatia 2221 8 0.36 94 0 0.00 4.23
Bosnia and Herzegovina 2218 37 1.70 122 2 1.67 5.50
Senegal 2189 84 3.99 23 2 9.52 1.05
Bulgaria 2100 31 1.50 99 3 3.12 4.71
Cote d’Ivoire 1971 59 3.09 24 0 0.00 1.22
Cuba 1830 20 1.10 79 0 0.00 4.32
Sudan 1818 0 0.00 90 0 0.00 4.95
Iceland 1802 0 0.00 10 0 0.00 0.55
Estonia 1758 7 0.40 62 1 1.64 3.53
North Macedonia 1723 29 1.71 95 0 0.00 5.51
Guatemala 1518 176 13.11 29 0 0.00 1.91
Lithuania 1511 6 0.40 54 0 0.00 3.57
New Zealand 1498 1 0.07 21 0 0.00 1.40
Slovakia 1477 8 0.54 27 0 0.00 1.83
Slovenia 1464 1 0.07 103 0 0.00 7.04
Djibouti 1284 16 1.26 3 0 0.00 0.23
Somalia 1284 65 5.33 53 1 1.92 4.13
Congo (Kinshasa) 1242 73 6.24 50 0 0.00 4.03
El Salvador 1112 75 7.23 23 3 15.00 2.07
Gabon 1104 100 9.96 10 1 11.11 0.91
Kyrgyzstan 1082 38 3.64 12 0 0.00 1.11
Tunisia 1032 0 0.00 45 0 0.00 4.36

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 343051 2390 0.70 27641 164 0.60 8.06 17634.35 1420.87 1 in 57
New Jersey 142704 1144 0.81 9946 232 2.39 6.97 16066.31 1119.77 1 in 62
Illinois 87937 3243 3.83 3928 136 3.59 4.47 6939.57 309.98 1 in 144
Massachusetts 82182 1685 2.09 5482 167 3.14 6.67 11825.59 788.83 1 in 85
California 74871 2073 2.85 3052 95 3.21 4.08 1894.88 77.24 1 in 528
Pennsylvania 63105 1004 1.62 4288 194 4.74 6.80 4929.31 334.95 1 in 203
Michigan 49582 1191 2.46 4787 73 1.55 9.65 4964.73 479.33 1 in 201
Texas 44480 1460 3.39 1235 63 5.38 2.78 1534.01 42.59 1 in 652
Florida 43210 808 1.91 1875 48 2.63 4.34 2011.85 87.30 1 in 497
Georgia 35977 550 1.55 1545 28 1.85 4.29 3388.49 145.52 1 in 295
Maryland 35903 1091 3.13 1866 57 3.15 5.20 5938.62 308.65 1 in 168
Connecticut 35464 609 1.75 3219 94 3.01 9.08 9947.03 902.87 1 in 101
Louisiana 33489 827 2.53 2417 36 1.51 7.22 7203.80 519.92 1 in 139
Virginia 27813 1067 3.99 956 28 3.02 3.44 3258.50 112.00 1 in 307
Ohio 26357 636 2.47 1534 51 3.44 5.82 2254.84 131.23 1 in 443
Indiana 26053 580 2.28 1646 27 1.67 6.32 3869.90 244.50 1 in 258
Colorado 20838 363 1.77 1086 24 2.26 5.21 3618.50 188.58 1 in 276
Washington 17773 261 1.49 983 9 0.92 5.53 2333.98 129.09 1 in 428
North Carolina 16968 616 3.77 641 16 2.56 3.78 1617.84 61.12 1 in 618
Tennessee 16699 329 2.01 287 14 5.13 1.72 2443.81 42.00 1 in 409
Iowa 13675 386 2.90 318 12 3.92 2.33 4334.29 100.79 1 in 231
Minnesota 13435 518 4.01 672 34 5.33 5.00 2382.25 119.16 1 in 420
Arizona 12674 458 3.75 624 29 4.87 4.92 1664.37 81.94 1 in 601
Rhode Island 12016 181 1.53 468 6 1.30 3.89 11342.69 441.78 1 in 88
Wisconsin 11275 373 3.42 434 13 3.09 3.85 1936.48 74.54 1 in 516
Alabama 11101 401 3.75 473 23 5.11 4.26 2264.04 96.47 1 in 442
Missouri 10594 190 1.83 566 15 2.72 5.34 1726.13 92.22 1 in 579
Mississippi 10483 393 3.89 480 15 3.23 4.58 3522.34 161.28 1 in 284
Nebraska 9260 348 3.90 103 0 0.00 1.11 4786.99 53.25 1 in 209
South Carolina 8189 159 1.98 371 9 2.49 4.53 1590.49 72.06 1 in 629
Kansas 7705 187 2.49 189 1 0.53 2.45 2644.75 64.87 1 in 378
Kentucky 7225 372 5.43 328 7 2.18 4.54 1617.17 73.42 1 in 618
Delaware 7223 271 3.90 260 13 5.26 3.60 7417.61 267.01 1 in 135
Utah 6749 129 1.95 75 0 0.00 1.11 2105.14 23.39 1 in 475
District of Columbia 6736 152 2.31 358 8 2.29 5.31 9544.47 507.26 1 in 105
Nevada 6504 28 0.43 333 2 0.60 5.12 2111.58 108.11 1 in 474
New Mexico 5503 139 2.59 242 11 4.76 4.40 2624.44 115.41 1 in 381
Oklahoma 4963 105 2.16 284 6 2.16 5.72 1254.24 71.77 1 in 797
Arkansas 4366 130 3.07 98 1 1.03 2.24 1446.74 32.47 1 in 691
South Dakota 3792 60 1.61 43 4 10.26 1.13 4286.40 48.61 1 in 233
Oregon 3479 63 1.84 137 3 2.24 3.94 824.85 32.48 1 in 1212
New Hampshire 3382 83 2.52 151 1 0.67 4.46 2487.29 111.05 1 in 402
Puerto Rico 2427 98 4.21 117 2 1.74 4.82 759.94 36.63 1 in 1316
Idaho 2351 58 2.53 72 3 4.35 3.06 1311.89 40.18 1 in 762
North Dakota 1712 65 3.95 40 0 0.00 2.34 2246.54 52.49 1 in 445
Maine 1565 50 3.30 69 3 4.55 4.41 1164.25 51.33 1 in 859
West Virginia 1427 29 2.07 60 2 3.45 4.20 798.48 33.57 1 in 1252
Vermont 932 3 0.32 53 0 0.00 5.69 1493.62 84.94 1 in 670
Wyoming 701 13 1.89 7 0 0.00 1.00 1211.21 12.09 1 in 826
Hawaii 637 -1 -0.16 17 0 0.00 2.67 449.90 12.01 1 in 2223
Montana 462 0 0.00 16 0 0.00 3.46 432.27 14.97 1 in 2313
Alaska 383 0 0.00 10 0 0.00 2.61 523.55 13.67 1 in 1910

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1298757 343051 26.41 66761.92
New Jersey 451696 142704 31.59 50854.12
Illinois 512037 87937 17.17 40407.53
Massachusetts 410032 82182 20.04 59001.63
California 1104651 74871 6.78 27957.20
Pennsylvania 311195 63105 20.28 24308.33
Michigan 335883 49582 14.76 33632.50
Texas 623284 44480 7.14 21495.60
Florida 608837 43210 7.10 28347.35
Georgia 285881 35977 12.58 26925.65
Maryland 178454 35903 20.12 29517.61
Connecticut 149562 35464 23.71 41949.50
Louisiana 247588 33489 13.53 53258.54
Virginia 166830 27813 16.67 19545.38
Ohio 233352 26357 11.29 19963.21
Indiana 160239 26053 16.26 23801.81
Colorado 114519 20838 18.20 19886.13
Washington 261080 17773 6.81 34285.45
North Carolina 219268 16968 7.74 20906.39
Tennessee 302317 16699 5.52 44242.54
Iowa 89294 13675 15.31 28301.75
Minnesota 128752 13435 10.43 22829.86
Arizona 134338 12674 9.43 17641.48
Rhode Island 101601 12016 11.83 95907.82
Wisconsin 133873 11275 8.42 22992.62
Alabama 141985 11101 7.82 28957.71
Missouri 127110 10594 8.33 20710.63
Mississippi 105326 10483 9.95 35390.03
Nebraska 53341 9260 17.36 27574.84
South Carolina 102535 8189 7.99 19914.68
Kansas 57628 7705 13.37 19780.91
Kentucky 117395 7225 6.15 26276.54
Delaware 36857 7223 19.60 37850.03
Utah 160119 6749 4.21 49944.20
District of Columbia 32999 6736 20.41 46757.42
Nevada 69484 6504 9.36 22558.60
New Mexico 115011 5503 4.78 54849.97
Oklahoma 112183 4963 4.42 28350.73
Arkansas 75818 4366 5.76 25123.39
South Dakota 26473 3792 14.32 29924.52
Oregon 84050 3479 4.14 19927.75
New Hampshire 39175 3382 8.63 28811.27
Puerto Rico 2427 2427 100.00 759.94
Idaho 33754 2351 6.97 18835.25
North Dakota 50246 1712 3.41 65934.27
Maine 23657 1565 6.62 17599.16
West Virginia 68713 1427 2.08 38448.43
Vermont 22505 932 4.14 36066.34
Wyoming 15430 701 4.54 26660.49
Hawaii 38881 637 1.64 27460.82
Montana 24549 462 1.88 22969.22
Alaska 31762 383 1.21 43417.70

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 27524 1602 6.18 6059 22.01 20446 1019 44 4.51 3.70
Tamil Nadu 9674 447 4.84 2240 23.15 7368 66 2 3.12 0.68
Gujarat 9592 324 3.50 3753 39.13 5253 586 20 3.53 6.11
Delhi 8470 472 5.90 3045 35.95 5310 115 9 8.49 1.36
Rajasthan 4589 195 4.44 2646 57.66 1818 125 3 2.46 2.72
Madhya Pradesh 4426 253 6.06 2171 49.05 2018 237 5 2.16 5.35
Uttar Pradesh 3902 144 3.83 2072 53.10 1742 88 2 2.33 2.26
West Bengal 2377 87 3.80 768 32.31 1394 215 8 3.86 9.05
Andhra Pradesh 2205 68 3.18 1192 54.06 965 48 1 2.13 2.18
Punjab 1935 11 0.57 223 11.52 1680 32 0 0.00 1.65
Telangana 1414 47 3.44 952 67.33 428 34 0 0.00 2.40
Bihar 999 46 4.83 400 40.04 592 7 0 0.00 0.70
Karnataka 987 28 2.92 460 46.61 491 35 2 6.06 3.55
Jammu and Kashmir 983 12 1.24 485 49.34 487 11 1 10.00 1.12
Haryana 818 25 3.15 439 53.67 368 11 0 0.00 1.34
Odisha 672 134 24.91 158 23.51 511 3 0 0.00 0.45
Kerala 561 26 4.86 493 87.88 64 4 0 0.00 0.71
Jharkhand 203 22 12.15 87 42.86 113 3 0 0.00 1.48
Chandigarh 191 0 0.00 37 19.37 151 3 0 0.00 1.57
Tripura 156 2 1.30 29 18.59 127 0 0 NaN 0.00
Assam 87 7 8.75 40 45.98 44 2 0 0.00 2.30
Uttarakhand 78 6 8.33 50 64.10 27 1 0 0.00 1.28
Himachal Pradesh 74 7 10.45 35 47.30 33 3 0 0.00 4.05
Chhattisgarh 60 1 1.69 56 93.33 4 0 0 NaN 0.00
Ladakh 43 0 0.00 22 51.16 21 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Puducherry 16 3 23.08 9 56.25 7 0 0 NaN 0.00
Goa 15 8 114.29 7 46.67 8 0 0 NaN 0.00
Meghalaya 13 0 0.00 11 84.62 1 1 0 0.00 7.69
Manipur 3 1 50.00 2 66.67 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 538243 83820 522 0.63 15.57 4818 297 29956 15296 18.25
Piemonte 232682 29209 151 0.52 12.55 1775 116 11891 3493 11.96
Emilia-Romagna 248591 27056 77 0.29 10.88 861 122 6301 3930 14.53
Veneto 474488 18845 32 0.17 3.97 342 26 4718 1743 9.25
Toscana 193182 9859 30 0.31 5.10 269 68 3388 973 9.87
Liguria 74248 8995 65 0.73 12.11 408 35 2660 1329 14.77
Lazio 192917 7291 41 0.57 3.78 1178 79 4096 595 8.16
Marche 82840 6603 15 0.23 7.97 189 18 2904 974 14.75
Campania 127938 4639 9 0.19 3.63 387 19 1765 394 8.49
Puglia 85577 4357 9 0.21 5.09 296 24 2253 461 10.58
P.A. Trento 60843 4315 3 0.07 7.09 66 9 505 448 10.38
Sicilia 111137 3366 12 0.36 3.03 203 12 1854 263 7.81
Friuli Venezia Giulia 97000 3161 5 0.16 3.26 149 2 770 317 10.03
Abruzzo 52860 3136 9 0.29 5.93 215 6 1482 379 12.09
P.A. Bolzano 52015 2578 3 0.12 4.96 54 7 380 290 11.25
Umbria 52247 1420 1 0.07 2.72 26 1 92 73 5.14
Sardegna 38034 1345 0 0.00 3.54 76 10 465 125 9.29
Valle d’Aosta 11100 1166 3 0.26 10.50 38 0 80 141 12.09
Calabria 51050 1143 3 0.26 2.24 59 2 524 95 8.31
Molise 10227 403 2 0.50 3.94 10 1 229 22 5.46
Basilicata 20285 389 0 0.00 1.92 34 1 127 27 6.94

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 40732 792 1.98 3352 131 4.07 8.23 4770.85 392.61 1 in 210
Ontario 22865 349 1.55 1915 32 1.70 8.38 1554.19 130.17 1 in 643
Alberta 6457 50 0.78 121 1 0.83 1.87 1463.13 27.42 1 in 683
British Columbia 2392 16 0.67 135 3 2.27 5.64 468.02 26.41 1 in 2137
Nova Scotia 1026 2 0.20 51 0 0.00 4.97 1049.66 52.18 1 in 953
Saskatchewan 582 5 0.87 7 0 0.00 1.20 492.52 5.92 1 in 2030
Manitoba 289 -1 -0.34 7 0 0.00 2.42 209.80 5.08 1 in 4766
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1051 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 660 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Jilin 138 1 0.72
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4333.05 262.52 1 in 231
Russia 1745.64 15.95 1 in 573
United Kingdom 3528.60 507.12 1 in 283
Spain 4919.42 585.53 1 in 203
Italy 3688.76 518.65 1 in 271
Brazil 970.69 66.88 1 in 1030
France 2671.95 409.43 1 in 374
Germany 2107.48 95.23 1 in 475
Turkey 1791.23 49.59 1 in 558
Iran 1411.20 84.45 1 in 709
China 60.63 3.35 1 in 16494
India 61.24 1.98 1 in 16330
Peru 2505.56 70.47 1 in 399
Canada 1989.39 148.76 1 in 503
Belgium 4762.11 780.96 1 in 210
Saudi Arabia 1422.86 8.59 1 in 703
Netherlands 2542.49 326.48 1 in 393
Mexico 329.68 34.65 1 in 3033
Chile 2052.08 20.39 1 in 487
Pakistan 181.66 3.91 1 in 5505

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 188545 20406 10.82
Cook Illinois 58457 2675 4.58
Nassau New York 38743 2016 5.20
Suffolk New York 37544 1697 4.52
Los Angeles California 35392 1711 4.83
Westchester New York 31792 1256 3.95
Philadelphia Pennsylvania 19093 1008 5.28
Wayne Michigan 18770 2183 11.63
Middlesex Massachusetts 18381 1327 7.22
Hudson New Jersey 17602 1032 5.86
Bergen New Jersey 17080 1423 8.33
Essex New Jersey 15905 1496 9.41
Suffolk Massachusetts 15881 759 4.78
Passaic New Jersey 14887 802 5.39
Miami-Dade Florida 14742 535 3.63
Union New Jersey 14385 930 6.47
Middlesex New Jersey 14332 841 5.87
Fairfield Connecticut 13836 1093 7.90
Rockland New York 12596 594 4.72
Essex Massachusetts 11950 725 6.07
Prince George’s Maryland 10449 398 3.81
Orange New York 9771 403 4.12
New Haven Connecticut 9712 767 7.90
Providence Rhode Island 9112 0 0.00
Harris Texas 8817 193 2.19
Worcester Massachusetts 8555 524 6.13
Oakland Michigan 7952 888 11.17
Hartford Connecticut 7935 999 12.59
Marion Indiana 7793 451 5.79
Ocean New Jersey 7742 595 7.69
Montgomery Maryland 7548 437 5.79
King Washington 7290 519 7.12
Norfolk Massachusetts 7258 696 9.59
Monmouth New Jersey 7164 480 6.70
Fairfax Virginia 6951 267 3.84
Jefferson Louisiana 6860 423 6.17
Dallas Texas 6837 159 2.33
Plymouth Massachusetts 6774 435 6.42
Orleans Louisiana 6768 482 7.12
District of Columbia District of Columbia 6736 358 5.31
Maricopa Arizona 6599 292 4.42
Macomb Michigan 6232 728 11.68
Broward Florida 6057 267 4.41
Lake Illinois 5992 202 3.37
Morris New Jersey 5954 539 9.05
Mercer New Jersey 5612 374 6.66
Montgomery Pennsylvania 5583 587 10.51
DuPage Illinois 5453 279 5.12
Riverside California 5440 235 4.32
Bristol Massachusetts 5440 297 5.46

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc